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Software Estimation: Demystifying the Black Art

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Software Estimation: Demystifying the Black Art

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About eBook Formats

This eBook includes the following formats, accessible from your Account page after purchase:

EPUB The open industry format known for its reflowable content and usability on supported mobile devices.

MOBI The eBook format compatible with the Amazon Kindle and Amazon Kindle applications.

PDF The popular standard, which reproduces the look and layout of the printed page.

This eBook requires no passwords or activation to read. We customize your eBook by discreetly watermarking it with your name, making it uniquely yours.

WISH LIST
  • Published 2/22/2006
  • 1st Edition
  • 352 pages
  • Book 978-0-7356-0535-0
  • eBook 978-0-7356-9085-1

Often referred to as the “black art” because of its complexity and uncertainty, software estimation is not as difficult or puzzling as people think. In fact, generating accurate estimates is straightforward—once you understand the art of creating them. In his highly anticipated book, acclaimed author Steve McConnell unravels the mystery to successful software estimation—distilling academic information and real-world experience into a practical guide for working software professionals. Instead of arcane treatises and rigid modeling techniques, this guide highlights a proven set of procedures, understandable formulas, and heuristics that individuals and development teams can apply to their projects to help achieve estimation proficiency.
Discover how to:

  • Estimate schedule and cost—or estimate the functionality that can be delivered within a given time frame
  • Avoid common software estimation mistakes
  • Learn estimation techniques for you, your team, and your organization * Estimate specific project activities—including development, management, and defect correction
  • Apply estimation approaches to any type of project—small or large, agile or traditional
  • Navigate the shark-infested political waters that surround project estimates

When many corporate software projects are failing, McConnell shows you what works for successful software estimation.

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